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Record W1980153016 · doi:10.1139/cjz-2013-0036

Snails keep the pace: shift in upper elevation limit on mountain slopes as a response to climate warming

2013· article· en· W1980153016 on OpenAlexvenueno aff
Bruno Baur, Anette Baur

Bibliographic record

VenueCanadian Journal of Zoology · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMollusks and Parasites Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLand snailBiological dispersalClimate changeEcologyGlobal warmingVegetation (pathology)Elevation (ballistics)PhenologyEnvironmental sciencePhysical geographyBiologySnailGeographyPopulation

Abstract

fetched live from OpenAlex

Predicted biological responses to climate warming are changes in phenology and poleward shifts or upslope displacements of the distribution of species. We investigated changes in the upper elevational limit of the land snail Arianta arbustorum (L., 1758) by repeating historical records from 1916 to 1917 on nine mountain slopes in the Swiss National Park in 2011–2012. We found that the upper elevational limit for snail populations has risen, on average, by 164 m in 95 years, accompanying a 1.6 °C rise in mean annual temperature in the investigation area. The higher temperature results in an upslope shift of the vegetation and in a prolonged activity period of the snails. Upslope extension of snail distribution was not influenced by the inclination of the slope, but it was larger on south-exposed slopes (mean: 233 m) than on north to northeast exposed slopes (122 m). On some slopes we found that the snails have already reached natural barriers (vertical rock walls with no soil), preventing any farther upward dispersal. To our knowledge, this is the first evidence for an invertebrate species with low dispersal capacity ascending to higher elevations in a mountain area in response to climate warming.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.236
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations30
Published2013
Admission routes1
Has abstractyes

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